Algorithmic pricing and concerted behaviour – competitive challenges?
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- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," CEPR Discussion Papers 15738, C.E.P.R. Discussion Papers.
- Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolò & Daniel Ershov & Justin Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021.
"Autonomous algorithmic collusion: economic research and policy implications,"
Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 459-478.
- Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolo & Daniel Ershov & Justin Pappas Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021. "Autonomous algorithmic collusion: Economic research and policy implications," Post-Print hal-03360129, HAL.
- Assad, Stephanie & Calvano, Emilio & Calzolari, Giacomo & Clark, Robert & Ershov, Daniel & Johnson, Justin & Pastorello, Sergio & Rhodes, Andrew & XU, Lei & Wildenbeest, Matthijs & Denicolò, Vincenzo, 2021. "Autonomous algorithmic collusion: Economic research and policy implications," TSE Working Papers 21-1210, Toulouse School of Economics (TSE).
- Jan Potters & Sigrid Suetens, 2013. "Oligopoly Experiments In The Current Millennium," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 439-460, July.
- Gautier, Axel & Ittoo, Ashwin & Van Cleynenbreugel, Pieter, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," LIDAM Reprints CORE 3138, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Calvano, Emilio & Calzolari, Giacomo & Denicoló, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," International Journal of Industrial Organization, Elsevier, vol. 79(C).
- Lea Bernhardt & Ralf Dewenter, 2020. "Collusion by code or algorithmic collusion? When pricing algorithms take over," European Competition Journal, Taylor & Francis Journals, vol. 16(2-3), pages 312-342, September.
- O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
- Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
- Ulrich Schwalbe, 2018. "Algorithms, Machine Learning, And Collusion," Journal of Competition Law and Economics, Oxford University Press, vol. 14(4), pages 568-607.
- Niklas Horstmann & Jan Krämer & Daniel Schnurr, 2018. "Number Effects and Tacit Collusion in Experimental Oligopolies," Journal of Industrial Economics, Wiley Blackwell, vol. 66(3), pages 650-700, September.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
Working Paper
1438, Economics Department, Queen's University.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," CESifo Working Paper Series 8521, CESifo.
- Jeanine Miklós-Thal & Catherine Tucker, 2019. "Collusion by Algorithm: Does Better Demand Prediction Facilitate Coordination Between Sellers?," Management Science, INFORMS, vol. 65(4), pages 1552-1561, April.
- Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
- Joseph E Harrington, 2018. "Developing Competition Law For Collusion By Autonomous Artificial Agents," Journal of Competition Law and Economics, Oxford University Press, vol. 14(3), pages 331-363.
- Steven Uytsel, 2018. "Artificial Intelligence and Collusion: A Literature Overview," Perspectives in Law, Business and Innovation, in: Marcelo Corrales & Mark Fenwick & Nikolaus Forgó (ed.), Robotics, AI and the Future of Law, pages 155-182, Springer.
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More about this item
JEL classification:
- D18 - Microeconomics - - Household Behavior - - - Consumer Protection
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
- K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
- L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
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